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Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) by Thomas H. Davenport
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Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) by Thomas H. Davenport
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Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings.
This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers.
These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.
note:
Please be aware that the product you have purchased is an electronic file in PDF format and not a physical book. This file comes with numerous features that make your experience unique and beneficial. You can open and read it using most modern electronic devices, such as tablets and smartphones.
About this item
Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings.
This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers.
These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.
note:
Please be aware that the product you have purchased is an electronic file in PDF format and not a physical book. This file comes with numerous features that make your experience unique and beneficial. You can open and read it using most modern electronic devices, such as tablets and smartphones.
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Most Reviewed
Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) by Thomas H. Davenport
Nexara
747 sales
NaN
NaN
-65%
$6.29629
$17.99
& Instant Download
You Save:$11.70
65% off
Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) by Thomas H. Davenport
0review
NaN
people viewing this product right now.people are viewing this. Don’t miss out!
Payment Methods:
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Payment Methods:
Payment Methods:
About this item
Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings.
This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers.
These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.
note:
Please be aware that the product you have purchased is an electronic file in PDF format and not a physical book. This file comes with numerous features that make your experience unique and beneficial. You can open and read it using most modern electronic devices, such as tablets and smartphones.
About this item
Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings.
This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers.
These cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.
note:
Please be aware that the product you have purchased is an electronic file in PDF format and not a physical book. This file comes with numerous features that make your experience unique and beneficial. You can open and read it using most modern electronic devices, such as tablets and smartphones.
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